This research and development requirement is for a predictive coding network image recognition system using a scalable analog neural network (scan).

Ended Definitive Contract Awarded Last action

Contract number
W912CG25CA007
Awardee
Awarding agency
Obligated
$1,424,552

Award facts

Opportunity
Contract value 20% obligated
  • $1,424,552.00 Current, with exercised options
  • $7,269,557.00 Potential, with all options
Completion date 100% complete
  • Current, with exercised options
  • Potential, with all options
Funding agency
Research Development and Engineering Command Army Materiel Command, Department of Defense
Set-aside
No set-aside
Competition
Full and Open Competition · 1 offer Basic Research
Pricing
Cost No Fee
Place of performance
Rochester, NY 14627, USA

Award details come from SAM.gov/FPDS.

Transactions

Action Obligated Date
Other Administrative Action P00004 $0
Other Administrative Action P00003 $261,641
Other Administrative Action P00002 $0
Other Administrative Action P00001 $0
Original award $1,162,911

About this award

The Defense Advanced Research Projects Agency (DARPA), formally the Research Development and Engineering Command, awarded a $7.27 million definitive contract to the University of Rochester for research and development of a predictive coding network image recognition system using a scalable analog neural network (SCAN) on June 9, 2025. The contract is priced on a cost-no-fee basis with a ceiling value of $7.27 million and an ultimate completion date of January 8, 2030.

Place of performance is Rochester, NY 14627. The originating solicitation, posted May 22, 2024 with a September 9, 2024 proposal due date, sought innovative research on scalable, robust, and power-efficient analog neural network architectures and circuits that interface directly with analog sensor outputs, targeting over 200x power efficiency gains in Phase 1 and over 2000x gains in Phase 2, with specified accuracy targets and fabricated hardware testing. DARPA anticipated multiple awards under this full-and-open solicitation with no set-aside designation.

The University of Rochester is performing as prime, with the University of California, Los Angeles (subcontract awarded December 9, 2025) and William Marsh Rice University (subcontract awarded August 26, 2025) as named subcontractors, both delivering research on predictive coding networks on dynamical systems for efficient image classification.

Subawards

Subcontractor Amount Awarded
University Of California, LOS Angeles THIS RESEARCH AND DEVELOPMENT REQUIREMENT IS FOR A PREDICTIVE CODING NETWORK IMAGE RECOGNITION SYSTEM USING A SCALABLE ANALOG NEURAL NETWORK (SCAN).… $137,491
William Marsh Rice University THIS RESEARCH AND DEVELOPMENT REQUIREMENT IS FOR A PREDICTIVE CODING NETWORK IMAGE RECOGNITION SYSTEM USING A SCALABLE ANALOG NEURAL NETWORK (SCAN).… $412,769

Quick answers

Who was awarded contract W912CG25CA007?

W912CG25CA007 was awarded to University Of Rochester by ACC Aberdeen Proving Ground (Army Contracting Command) on June 9, 2025.

How much is contract W912CG25CA007 worth?

The government has obligated $1,424,552 on W912CG25CA007. Its potential value, with all options, is $7,269,557.

Which agency awarded contract W912CG25CA007?

ACC Aberdeen Proving Ground (Army Contracting Command) awarded W912CG25CA007, with funding from Research Development and Engineering Command (Army Materiel Command).

Was contract W912CG25CA007 competed?

The extent of competition for W912CG25CA007 was full and open competition. The government received 1 offer.

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